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NEW QUESTION # 69
A patient presents to the clinic with indwelling Foley catheter, symptoms of fatigue, and low back pain with BPH. Labs reveal WBC 20, and the urine culture is positive for E. coli. Prescription antibiotics are ordered for a UTI. Which of the following is the BEST query opportunity?
Answer: D
Explanation:
The strongest CDI query opportunity is clarifying whether the UTI is catheter-associated. The patient has an indwelling Foley catheter, significant leukocytosis (WBC 20), a positive urine culture for E. coli, and is being treated with antibiotics for UTI-these indicators raise a clear question about the etiology of infection and whether it is related to the urinary catheter. In outpatient CDI practice, linking the infection to a device (when clinically supported) improves documentation accuracy, supports correct code assignment, and has important quality and compliance implications because catheter-associated UTIs are captured differently than uncomplicated UTIs. By comparison, querying the "etiology of BPH" is not supported as an immediate gap (BPH is already stated), and the "etiology of low back pain" is less directly tied to the documented treatment focus (UTI management). "Leukocytosis" is a lab finding that is already objectively supported and often represents a symptom/abnormal result rather than the principal clarification needed. Therefore, confirming whether the UTI is related to the Foley catheter is the best, most clinically anchored query.
NEW QUESTION # 70
A patient reports recent weight loss of 10 pounds in the last two months, decreased appetite, and no energy or desire to eat. She describes an inability to concentrate and complete simple tasks, likely due to ongoing insomnia. Documentation includes a PHQ-9 score of 11, and the patient is currently on paroxetine for depression. Which of the following is a query opportunity to obtain more specificity?
Answer: D
Explanation:
In outpatient CDI, a strong specificity opportunity is to clarify the exact diagnostic term that best matches clinical indicators and supports correct ICD-10-CM reporting. The patient has multiple depressive symptoms (weight loss, poor appetite, low energy, impaired concentration), is already treated with an antidepressant (paroxetine), and has a PHQ-9 score of 11, consistent with at least moderate depressive symptom burden that warrants diagnostic clarity. Among the options, only Major Depressive Disorder (MDD) is a recognized clinical diagnosis category with structured ICD-10-CM options that require further specificity (e.g., single vs recurrent episode, severity-mild/moderate/severe, psychotic features, and remission status). The other choices ("occurrence," "event," "reaction") are nonspecific, nonstandard phrases that do not reliably map to accurate ICD-10-CM diagnostic reporting and do not help improve documentation precision. A compliant query would ask the provider to specify whether the patient has MDD and, if so, document the episode type/severity and relationship to insomnia if clinically relevant, ensuring the record reflects what is being evaluated and treated during the encounter.
NEW QUESTION # 71
PCP notes describe declining renal function with creatinine trending upward over the last 12 months. Nephrology consult ordered. Which of the following diagnostic tests could support a query to identify status of the patient's baseline renal function?
Answer: A
Explanation:
To establish and query for a patient's baseline renal function in the outpatient setting, eGFR is the most direct and standardized measure because it estimates kidney filtration capacity using serum creatinine (and patient factors such as age/sex, and sometimes race depending on the equation used). Outpatient CDI concepts emphasize that chronic kidney disease staging is based primarily on eGFR categories (G1-G5) and persistence over time, making eGFR trends particularly useful for determining whether the patient has CKD, whether it is worsening, and what stage should be documented. Serum creatinine alone can suggest decline but does not translate cleanly to CKD stage without calculating eGFR and considering patient characteristics. BUN is influenced by hydration status, protein intake, bleeding, and catabolic states, so it is less reliable for baseline kidney function assessment. ACR is important for detecting albuminuria and refining CKD classification/risk stratification, but it complements eGFR rather than replacing it as the primary indicator of baseline filtration function.
NEW QUESTION # 72
HCC category assignment methodology is similar to which of the following?
Answer: B
Explanation:
HCC category assignment is most similar to DRG diagnostic category logic because both methods take detailed diagnosis coding and map it into clinically meaningful groupings used for payment or performance methodologies. In CMS-HCC risk adjustment, ICD-10-CM diagnosis codes map to Condition Categories (HCCs) that represent disease groups with expected cost and complexity, and the model applies rules such as hierarchies (to avoid double-counting related conditions) and, in some cases, interactions (to recognize added impact when certain conditions coexist). DRGs similarly group diagnoses (and procedures in the inpatient setting) into a limited number of categories intended to reflect resource consumption and clinical similarity, rather than paying strictly on every individual code. By contrast, 835 is a remittance advice transaction standard (payment explanation) and has nothing to do with clinical grouping methodology. ICD-10-PCS and CPT are procedure/service coding systems; they describe interventions performed, not the risk-category grouping of diagnoses. Therefore, DRG diagnostic categories are the closest conceptual match to HCC assignment methodology.
NEW QUESTION # 73
An African American male enrolled in Medicaid has not been taking his blood pressure medication. Which of the following factors impacts this beneficiary's risk score?
Answer: D
Explanation:
Medicaid risk adjustment models generally calculate risk using two major categories of inputs: demographics and diagnosis data. Demographic factors commonly include gender and indicators tied to Medicaid status/eligibility (for example, eligibility category, dual status, disability-related eligibility, or other program qualifiers depending on the state/model). These demographic elements adjust expected cost and are foundational to the risk score even before considering diagnoses. By contrast, race is not a standard input for calculating Medicaid risk scores in typical risk adjustment methodologies, so options that include race are not supported. Likewise, "patient noncompliance" is primarily a clinical and quality-of-care issue and may affect treatment outcomes, but it is not itself a standard risk-score driver unless it is documented as a reportable, supported diagnosis that the specific model recognizes (and most models don't directly risk-adjust for nonadherence codes). Therefore, among the options given, Medicaid status and gender are the most clearly valid factors that impact the beneficiary's risk score.
NEW QUESTION # 74
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